Databricks Model Serving Deploy MLflow models and AI agents to scalable REST API endpoints. Quick Decision: What Are You Deploying? | Model Type | Pattern | Reference | |------------|---------|-----------| | Traditional ML (sklearn, xgboost) | | 1-classical-ml.md | | Custom Python model | | 2-custom-pyfunc.md | | GenAI Agent (LangGraph, tool-calling) | | 3-genai-agents.md | Prerequisites - DBR 16.1+ recommended (pre-installed GenAI packages) - Unity Catalog enabled workspace - Model Serving enabled Foundation Model API Endpoints ALWAYS use exact endpoint names from this table. NEVER guess or…